ADCI HYD 13 SEZ
Software Development, Artificial Intelligence
SoftwareDevelopmentManager,AGIDataServices
Neural analysis suggests this role is
optimal for Manager candidates.
“Software Development Manager, AGI Data Services at ADCI HYD 13 SEZ. Skills: AGI Data Services, AI models, Data services. Lead a multidisciplinary team. Develop solutions across multiple programs”
Industry & Context.
Deep dive into data quality issues
What They're Looking For.
Must Have
7+ years of engineering experience, 3+ years of engineering team management, 8+ years of leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, Experience partnering with product or program management teams, 3+ years of designing or architecting of new and existing systems
Nice to Have
Experience in communicating with users, other technical teams, and senior leadership, Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers
What You'll Do.
Lead a multidisciplinary team
Develop solutions across multiple programs
Work with scientist customers
Collect data for AI model training
Clean data for AI model training
Evaluate data for AI model training
Lead the development process
Own distributed backend systems
Own front-end tools for human-in-the loop data collection
Hire and develop engineers
Grow and develop a team
Empower engineers to achieve amazing things
Set a vision for your team
Create product roadmaps
Identify technical requirements
Identify product requirements
Balance long and short-term goals
Deliver on your product roadmap
Keep technical skills current
Contribute to architecture discussions
Contribute to design discussions
Lead team to evolve service architecture
Lead team to scale service architecture
Drive continual improvements
Improve team processes
Improve team mechanisms
Get work done efficiently
Design systems for building training data
Design systems for managing training data
Deep dive into data quality issues
Work with stakeholders
Understand stakeholder requirements
Improve efficiency in software development processes
Communicate status updates to leadership
Collaborate with sister teams
How You'll Work.
Team & Collaboration
Multidisciplinary team; Scientist customers; Product or program management teams; Stakeholders; Sister teams
Communication Scope
Communicating status updates
Process & Methodology
Project management, Prioritization, Roadmap planning
Full Job Description
Want to help build the next generation of training and evaluation datasets for Frontier models? Join us! We are looking for a talented Software Development manager to help us develop build the software and systems to achieve our vision to "Be best-in-class at acquiring, creating and ground-truthing all kinds of data, with the highest standards of privacy and security, to power the best AI models and applications on Earth.” What will you do? You will lead a multidisciplinary team to develop solutions across multiple programs working with scientist customers collect, clean, and evaluate data used for AI model training. This includes Reinforcement Learning Gyms to evaluate AI Agents in workflows of users. You will lead the development process and have end-to-end ownership of distributed backend systems as well as front-end tools for human-in-the loop data collection. Key job responsibilities * Hire and develop the best. You will help grow and develop a team of engineers, growing their careers and empowering them to achieve amazing things. * Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities. Use project management and prioritization skills to balance long and short-term goals and deliver on your product roadmap. * Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture. * Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently. A day in the life A mix of helping the team design systems for building and managing training data, working with the team to deep dive into data quality issues, working with stakeholders to understand their requirements, improving efficiency in our software development processes, career coaching and mentorship, communicating status updates to leadership about progres
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